Lie recognition using eye patterns

0Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The recognition of lie done by a person could be identified by various facial gestures, such as the reaction of the eye blinks to different situations, and also in the case of a lie as proposed by the NLP(Neuro Linguistic Programming) theory. These patterns could be identified by using statistical tools such as SVM(Support Vector Machine), PCA(Principal Component Analysis) and LDA(Latent Dirichlet Allocation). This paper proposes lie detection technique using Python programming language based on the PCA (Principal Component Analysis) algorithm based on the eye images.

Author supplied keywords

Cite

CITATION STYLE

APA

Mehta, K., Sharma, A., & Suri, R. (2019). Lie recognition using eye patterns. International Journal of Engineering and Advanced Technology, 9(1), 6305–6308. https://doi.org/10.35940/ijeat.A1765.109119

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free